@inproceedings{113fa274eca5456b873676d5fe445256,
title = "Dark channel processing for medical image enhancement",
abstract = "The images obtained through biomedical instruments are not always satisfactory. They are often blurred or vague. Doctors or researchers undergo a lot of problems because of these artefacts. Our research concentrated on image processing system which enhance these biomedical images. Dark channel used for this purpose followed by transmission maps which are calculated for every image. The radiance in the image is recovered and soft matting is used. Satisfactory results were obtained which showed clearer biomedical images. Further SSIM values and correlation factor are calculated to compare the results. The results were tested for ultrasound and microscopic medical images.",
keywords = "Dark channel prior, Deep learning, Dehazing, Gamma correction, Medical images",
author = "Anukriti Singh and Aditi Chandra and Rajesh Kumar and Kuldeep Singh and Nilanjan Dey",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 5th IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2019 ; Conference date: 15-11-2019 Through 16-11-2019",
year = "2019",
month = nov,
doi = "10.1109/WIECON-ECE48653.2019.9019993",
language = "English",
series = "2019 5th IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 5th IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2019 - Proceedings",
address = "United States",
}